Trajectory-Based Active Inverse Reinforcement Learning for Learning from Demonstration

Sehee Kweon , Himchan Hwang , Frank C Park
2023 23rd International Conference on Control, Automation and Systems (ICCAS) 1807 -1812

2023
Learning Robot Collisions

Kyu Min Park , Frank C Park
Springer Nature Switzerland 55 -84

2023
Enhancing Collision Learning Practicality

Kyu Min Park , Frank C Park
Springer Nature Switzerland 85 -107

2023
Physically Consistent Lie Group Mesh Models for Robot Design and Motion Co-Optimization

Jaewoon Kwon , Seunghyun Kim , Frank C Park
IEEE Robotics and Automation Letters 7 ( 4) 9501 -9508

2022
Towards a theory of robot motor control

Frank C Park
2014 13th International Conference on Control Automation Robotics & Vision (ICARCV) 1 -1

2014
V. CONCLUSION

Scott R Ploen , Frank C Park
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION 15 ( 6) 1131 -1131

1999
A Geometric Framework for Optimal Surface Design

Frank C Park
International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 97720 237 -241

1992
Interpolation of rigid-body motions.

Frank C Park
the 1992 Japan- USA Symposium on Flexible Automation Part 1(of 2) 785 -789

1992
Graph Geometry-Preserving Autoencoders

Jungbin Lim , Jihwan Kim , Yonghyeon Lee , Cheongjae Jang
Forty-first International Conference on Machine Learning

Leveraging Equivariant Representations of 3D Point Clouds for SO (3)-Equivariant 6-DoF Grasp Pose Generation

Byeongdo Lim , Jongmin Kim , Jihwan Kim , Yonghyeon Lee
ICRA 2024 Workshop on 3D Visual Representations for Robot Manipulation

A Statistical Manifold Framework for Point Cloud Data

LEE Yonghyeon , Seungyeon Kim , Jinwon Choi , Frank C Park

Minimum Curvature Manifold Learning

Yonghyeon Lee , Frank C Park

ADDITIONAL FILES 1.

Chang S Han , Piotr G Jablonski , Beobkyun Kim , Frank C Park

Minimum heat loss control of fluid-powered systems

Jiyeon Kang , Frank C. Park
international conference on control, automation and systems 1383 -1387

2011
Generative local metric learning for kernel regression

Masashi Sugiyama , Daniel D. Lee , Yung-Kyun Noh , Kee Eung Kim
neural information processing systems 30 2452 -2462

6
2017
96
2017